Railway work training method based on two violation data

Abstract

The invention discloses a railway work type training method based on two violation data, and relates to the technical field of railway work type training. Specific violation records of the staff are automatically transmitted and mapped to corresponding theoretical capability weak items and practical capability weak items, and capability weakness behind the problem is revealed. According to the method, a dynamic weight model is constructed, and a personalized weight is given to each "two violation" record of each worker, so that the analysis result of the weak ability item is more in line with the personal actual situation, and the positioning accuracy and timeliness are improved. A set of complete closed-loop workflow from'two violation 'data input, capability weak item calculation and threshold judgment, targeted reinforcement task distribution and reinforcement effect evaluation is provided. Therefore, personalization, precision and quantifiability of staff training are realized, and safety management work is promoted to be converted from post-processing to beforehand prevention and from experience decision to data decision.

Description

Technical Field

[0001] This invention relates to the field of railway worker training technology, and specifically to a railway worker training method based on violation data. Background Technology

[0002] In the railway transportation production safety management system, "two violations" (violations of rules and regulations) records are the key basis for assessing the quality and safety behavior of employees on-site. At present, railway enterprises and railway bureau groups have established relatively complete "two violations" assessment standards and simple employee professional competency models (usually including theoretical and practical competency items), and possess a large knowledge base of rules and regulations.

[0003] However, the existing management model has significant shortcomings: First, the problems in production operations are disconnected from the specific skills of employees in particular jobs, resulting in a lack of targeted training. When employees commit violations, they are usually only given simple verbal reprimands and punishments based on the problem itself, lacking a systematic and automated method for skills enhancement. It is difficult to deeply connect specific violations to the underlying theoretical knowledge gaps or practical skill deficiencies. This leads to subsequent training often relying on experience or using a "blanket" approach, resulting in low efficiency and limited effectiveness. Second, the analysis dimensions are singular, lacking dynamic evaluation. The analysis of violations records often remains at the level of frequency statistics, failing to comprehensively consider multi-dimensional dynamic factors such as the severity of the problem, its frequency, and its recent occurrence. This makes the analysis results unable to accurately reflect the true risk level behind the problem and the evolution trend of individual behavioral habits. Finally, the management of violations does not form a closed loop, making it difficult to quantify the effects. Training, assessment, evaluation, and improvement are relatively isolated, failing to form a closed-loop management process centered on data-driven, precise positioning, targeted reinforcement, and effect verification. After personnel are added, there is a lack of scientific and quantitative assessment methods to determine whether their capabilities have truly improved and whether their behavior has been effectively modified, which is not conducive to the continuous development of talent and the continuous improvement of safety performance. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a railway worker training method based on two violation data.

[0005] The objective of this invention is achieved through the following technical solution: This application discloses a training method for railway workers based on data on violations of railway regulations, including the following steps: S1. Define the production violation assessment standards for occupational types in railways, which are used to track and evaluate the work quality of the occupational types in production operations. The production violation assessment standards include evaluation clauses for violations and irregularities recorded in actual production operations. S2. Define the occupational competency items for the occupational job to evaluate the occupational competency profile of the occupational job. The occupational competency items include theoretical competency items and practical competency items. S3. Define the knowledge base required for the occupation, including the corresponding national, railway bureau, and station / section level regulations and norms. S4. Based on the personnel in the occupation, define their two-violation record vector to represent the two-violation assessment standards violated in actual production operations; then, attach a comprehensive weight to the two-violation record vector through a dynamic weight adjustment model, the comprehensive weight taking into account the severity, frequency and recentity of the problem; finally, form the violation record weight vector corresponding to the two-violation record. S5. Based on the relationship between the personnel's two production violation records and the rules and regulations, establish a transmission matrix; at the same time, based on the rules and regulations, establish a relationship matrix between the personnel and theoretical ability items and practical ability items respectively. S6. Define the personnel's theoretical and practical weaknesses. By considering the weighted relational transmission matrix, locate the personnel's theoretical or practical weaknesses from the two violation records. Then, by setting thresholds, determine the set of theoretical and practical skills that the personnel need to improve. S7. Based on the characteristics of the occupation and the equipment provided by the relevant unit, strengthen the set of theoretical and practical skills obtained in step S6 item by item. S8. Evaluate the effectiveness of the reinforcement training for the personnel. The evaluation of the training effectiveness includes capacity improvement and behavior improvement. Specifically, it includes: evaluating capacity improvement by testing or quantifying the mastery of capacity items before and after training, and evaluating behavior improvement by comparing changes in two data points in actual production operations. S9. Within the preset period, repeat steps S4-S8 for personnel in this occupation to track and reinforce their training, so as to achieve closed-loop management and continuous tracking from the occurrence of production violations to the reinforcement of theory and practice, and then to the evaluation of results.

[0006] Furthermore, the set of production violation assessment standards mentioned in step S1 is as follows: Where n represents the total number of items in the two assessment standards for the occupational type. Indicates the first Production violation assessment standards for certain occupational types of jobs.

[0007] Preferably, step S2 specifically includes the following steps: S201, the set of theoretical competency items for the aforementioned occupation is as follows: ,in, p This represents the total number of theoretical capability items. Indicates the first bTheoretical competency items for each occupational trade; S202, the set of practical skills items for the aforementioned occupational type is as follows: ,in, q This represents the total number of practical capability items. Indicates the first c Practical skills required for each occupation.

[0008] Preferably, the set of regulations and normative clauses at the national, railway bureau, and station / section levels mentioned in step S3 is as follows: ,in, m This indicates the total number of rules and regulations. This indicates the dth rule or regulation clause.

[0009] Preferably, step S4 specifically includes the following steps: S401, For personnel in occupational categories x The set vector of its two violation records is Where k represents the total number of production records between the two violations. Personnel x The i Two violations recorded; S402, the personnel x The i Two violations record The severity of the problem is weighted as follows: The corrections are made based on the severity of the violations in different job categories. ,in , , and Both represent constants; S403, the personnel mentioned x The i Two violations record The cumulative frequency weight is Its calculation formula is ,in Personnel x The i Two violations record The cumulative number of occurrences within a preset period; S404, the personnel mentioned x The i Two violations record The weight of the recent occurrence is Its calculation formula is ,in β Indicates the attenuation coefficient. This indicates the number of days since the last time that person x had two violations recorded; S405, via formula Computing personnel x The i Two violations record Overall weight ; S406, through formula Calculate set vectors Corresponding violation record weight vector .

[0010] Preferably, step S5 specifically includes the following steps: S501, establishing a first correlation matrix based on the production violation assessment standards and regulations for occupational jobs. A n×m The first correlation matrix A n×m elements in Used to represent the assessment standards for production violations. In accordance with regulations and rules The degree of correlation; S502, Based on personnel x Establish a second correlation matrix based on the two violation records and regulations. Consider the weight vector of traffic violation records. Establish a third correlation matrix ; S503. Establish a fourth correlation matrix based on the regulations and normative clauses of occupational types and theoretical competency items. BT m×p The fourth correlation matrix BT m×p elements in Used to indicate rules and regulations. With theoretical ability items The degree of correlation; S504. Establish a fifth correlation matrix based on the regulations and normative clauses of occupational types and practical ability items. BS m×q The fifth correlation matrix BS m×q elements in Used to indicate rules and regulations. Practical skills items The degree of correlation; S505, respectively, for the first correlation matrix A n×m Fourth correlation matrix BT m×p and the fifth correlation matrix BS m×q Initialize the elements in the file; S506, Based on personnel x Based on the set vector of the production two violation records and the theoretical capability terms, establish the first transmission matrix. This is used to represent the correlation mapping relationship between production violation records and theoretical capacity items; based on personnel x Based on the set vector of production violation records and the actual capability items, a second transmission matrix is ​​established. This is used to represent the association mapping relationship between production violation records and actual capability items.

[0011] Preferably, step S6 specifically includes the following steps: S601, via formula Computing personnel x Theoretical capability weakness vector ,in This represents a row vector with 1 row, k columns, and all values ​​being 1; S602, through formula Computing personnel x The vector of weaknesses in practical ability ; S603. Based on the actual number of violations and related personnel training and reinforcement plans in production, preset theoretical reinforcement thresholds. θ T and implementation reinforcement threshold θ S ; S604, via formula Computing personnel x Set of theoretical weaknesses that need to be addressed ,in Personnel x Theoretical capability weakness vector The elements in Personnel x The i-th theoretical weakness that needs improvement; through the formula Computing personnel x Set of weaknesses in practical skills that need improvement ,in Personnel x The vector of weaknesses in practical ability elements in Personnel x The i-th weakness in practical skills that needs improvement.

[0012] The beneficial effects of this invention are: 1) This application, through the correlation transmission matrix model, can penetrate the surface of the problem and directly locate the specific theoretical knowledge points or practical skills points that lead to the occurrence of the "two violations", making the subsequent training and reinforcement content highly targeted, greatly improving the utilization efficiency of training resources and the pertinence of employee skills improvement.

[0013] 2) This application comprehensively considers the severity, frequency and novelty of violations, and uses mathematical models such as logarithms and exponents to dynamically assign weights, making the assessment of employees' weaknesses more scientific, comprehensive and dynamic, avoiding the one-sidedness of the single-count method, and more realistically reflecting the individual's risk status and training needs.

[0014] 3) This application generates a personalized capability weakness vector and reinforcement set for each employee, truly achieving "one policy per person." At the same time, it links the problem discovery, analysis, intervention, and evaluation processes into a closed loop, forming a virtuous cycle of continuous improvement, which helps employees' capabilities to spiral upward and solidify safe behaviors.

[0015] 4) This application transforms qualitative analysis, which originally relied on human experience, into quantitative calculation based on data and models, significantly improving the automation and intelligence level of safety analysis and training management. Managers can make decisions based on clear quantitative data (such as weakness vector values ​​and reinforcement sets), making management more refined and efficient.

[0016] 5) This application has good scalability and adaptability. The correlation transmission matrix, weight model parameters and reinforcement threshold can be flexibly adjusted and optimized according to the actual management needs of different jobs and different periods, so that the solution can be widely applied to various jobs in the railway and adapt to changes in future management requirements. Attached Figure Description

[0017] Figure 1 This is a schematic diagram illustrating the steps of a railway worker training method based on two violation data, according to an embodiment of the present invention. Detailed Implementation

[0018] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] This application discloses a railway worker training method based on violation data, which intelligently links violation records, regulations, and competency items, and achieves closed-loop management from problem identification to precise reinforcement and effect evaluation. A schematic diagram of the method's steps is shown below. Figure 1 As shown, the specific steps include: S1. Define the production violation assessment standards for occupational types in the railway, which are used to track and evaluate the work quality of the occupational types in production operations. The production violation assessment standards include evaluation clauses for violations and irregularities recorded in actual production operations. They are usually an important basis for tracking and evaluating the work quality of employees in production operations within the railway industry. S2. Define the occupational competency items of the occupational job, which is a basic model for evaluating the occupational competency profile of the occupational job. The occupational competency items include theoretical competency items and practical competency items. S3. Define the knowledge base required for the occupation, including the corresponding national, railway bureau, and station / section level regulations and norms. S4. Based on personnel in a specific occupation, define a vector of violations and irregularities records to represent the violations of the two-violation assessment standards in actual production operations. Each violation record in the vector falls within the scope of the two-violation assessment standards for the corresponding occupation. Simultaneously, to more accurately consider the differences in the impact of different violations and irregularities records when calculating personnel weaknesses later, a dynamic weight adjustment model is used to attach a comprehensive weight to the vector of violations and irregularities records. This comprehensive weight considers the severity, frequency, and relevance of the problem. Finally, a violation record weight vector corresponding to each violation and irregularity record is formed. S5. Based on the relationship between the personnel's production violation records and regulations, establish a transmission matrix to represent the correlation strength between each violation record and the regulations. Simultaneously, based on the regulations, establish correlation matrices between them and theoretical and practical competency items to represent the correlation strength between the regulations and competency items. This allows the regulations to serve as a link, establishing a connection between the violation assessment standards and competency items. Furthermore, by analyzing a personnel's violation records, it is possible to further pinpoint corresponding competency weaknesses. S6. Define the personnel's theoretical and practical weaknesses. By considering the weighted relational transmission matrix, locate the personnel's theoretical or practical weaknesses from the two violation records. Then, by setting thresholds, determine the set of theoretical and practical skills that the personnel need to improve. S7. Based on the set of weaknesses in the theoretical and practical abilities of personnel that need to be strengthened obtained in step S6, targeted theoretical or practical strengthening tasks can be carried out one by one. Theoretical strengthening can take the form of learning theoretical courseware or answering theoretical questions online. Practical strengthening can take the form of physical operation and assessment or strengthening training with simulation equipment. The specific strengthening courses and forms are customized according to the characteristics of the job and the equipment provided by the relevant unit. S8. After personnel complete the reinforcement of specific theoretical and practical skills weaknesses, it is also necessary to evaluate the effect of the reinforcement training. The evaluation of training effect needs to be measured from two dimensions: ability improvement and behavior improvement. The evaluation method for ability improvement can be based on the pre- and post-training tests or the degree of mastery of the ability items. The evaluation of behavior improvement can be based on the comparison of changes in the two data in real production operations. S9. Within the preset period, repeat steps S4-S8 for personnel in this occupation to track and reinforce their training, so as to achieve closed-loop management and continuous tracking from the occurrence of production violations to the reinforcement of theory and practice, and then to the evaluation of results.

[0020] Specifically, the set of production violation assessment standards mentioned in step S1 is as follows: Where n represents the total number of items in the two assessment standards for the occupational type. Indicates the first Production violation assessment standards for certain occupational types of jobs.

[0021] Specifically, step S2 includes the following steps: S201, the set of theoretical competency items for the aforementioned occupation is as follows: ,in, p This represents the total number of theoretical capability items. Indicates the first b Theoretical competency items for each occupational trade; S202, the set of practical skills items for the aforementioned occupational type is as follows: ,in, q This represents the total number of practical capability items. Indicates the first c Practical skills required for each occupation.

[0022] Specifically, the set of regulations and normative clauses at the national, railway bureau, and station / section levels mentioned in step S3 is as follows: ,in, m This indicates the total number of rules and regulations. This indicates the dth rule or regulation clause.

[0023] Specifically, step S4 includes the following steps: S401, For personnel in occupational categories x The set vector of its two violation records is Where k represents the total number of production records between the two violations. Personnel x The i Two violations, personnel x All records of violations belong to the set vector of violation assessment standards for the corresponding occupation; for personnelx The i Two violations record It must include the set of production violation assessment standards mentioned in step S1. middle; S402, the personnel x The i Two violations record The severity of the problem is weighted as follows: This is used to indicate the consequences and severity of the two violations. The railway industry typically classifies them into four levels: major, serious, minor, and serious. These levels are further adjusted based on the specific job type and the severity of the violation. ,in , , and Both represent constants; S403, the personnel mentioned x The i Two violations record The cumulative frequency weight is This is used to represent the cumulative number of times a person has committed this type of violation, preventing high-frequency violations from excessively amplifying their impact, and also conforming to the law of diminishing marginal utility. Its calculation formula is: ,in Personnel x The i Two violations record The cumulative number of occurrences within a preset period; the weight of the cumulative occurrence frequency is based on the natural logarithm to prevent the weight from being too large when the frequency is too high, in accordance with the diminishing returns effect, and at the same time to ensure that the logarithm is also 0 when the frequency is 0. S404, the personnel mentioned x The i Two violations record The weight of the recent occurrence is This indicates the impact of the individual's most recent violation record. The more recent the violation, the greater its impact. The calculation formula is: The recent occurrence weights, when applied exponentially, conform to the memory decay law, where... β This represents the attenuation coefficient (which can be adjusted according to actual conditions). This indicates the number of days since the last time that person x had two violations recorded; S405, via formula Computing personnel x The i Two violations record Overall weight Since the three weighting indicators are independent of each other, the overall weight can be expressed as the product of the three. S406, through formula Calculate set vectors Corresponding violation record weight vector Since the range of weight values ​​generated by different two records cannot be determined, the elements in the vector are normalized.

[0024] Specifically, step S5 includes the following steps: S501. Establish a first correlation matrix based on the production violation assessment standards and regulations for occupational types. A n×m The first correlation matrix A n×m elements in Used to represent the assessment standards for production violations. In accordance with regulations and rules The degree of correlation, when its value is 0, indicates that the production violates the assessment standards. In accordance with regulations and rules Unrelated; when its value is 1, it indicates that the production violates the assessment standards. In accordance with regulations and rules The correlation was the highest; S502, Based on personnel x Establish a second correlation matrix based on the two violation records and regulations. Consider the weight vector of traffic violation records. It is possible to obtain targeted personnel x The correlation strength between the two violation records and the violation clauses makes the correlation strength of the second correlation matrix more targeted on the basis of generality, therefore a third correlation matrix is ​​established. Because this person only violated k out of the n criteria for two-way violations, therefore... yes The submatrix; the second correlation matrix The first in i Iterate through all elements of the row (the association values ​​between the two violation records and all rules and regulations) to obtain... Then multiply it by the corresponding weights to obtain the third correlation matrix. elements in ,Right now ; S503. Establish a fourth correlation matrix based on the regulations and normative clauses of occupational types and theoretical competency items. BT m×p The fourth correlation matrix BT m×p elements in Used to indicate rules and regulations. With theoretical ability items The degree of correlation is represented by the range of values ​​for each element, from unrelated to the highest degree of correlation. S504. Establish a fifth correlation matrix based on the regulations and normative clauses of occupational types and practical ability items. BS m×q The fifth correlation matrix BS m×q elements in Used to indicate rules and regulations. Practical skills items The degree of correlation is represented by the range of values ​​for each element, from unrelated to the highest degree of correlation. S505, respectively, for the first correlation matrix A n×m Fourth correlation matrix BT m×p and the fifth correlation matrix BS m×q The elements in the dataset are initialized; this is typically determined using expert evaluation methods or historical data summarization methods. S506, Based on personnel x Based on the set vector of the production two violation records and the theoretical capability terms, establish the first transmission matrix. This is used to represent the correlation mapping relationship between production violation records and theoretical capacity items; based on personnel x Based on the set vector of production violation records and the actual capability items, a second transmission matrix is ​​established. This is used to represent the association mapping relationship between production violation records and actual capability items.

[0025] Specifically, step S6 includes the following steps: S601, via formula Computing personnel x Theoretical capability weakness vector The meaning expressed by the calculation formula is the first transmission matrix. The row vector formed by summing the elements in each column is the theoretical ability weakness vector. This vector characterizes the individual's weakness in a specific ability area; a higher value indicates a lower level of mastery of the corresponding ability area and a greater need for improvement. This represents a row vector with 1 row, k columns, and all values ​​being 1; the personnel x Theoretical capability weakness vector for This has enabled personnel x From k production violation records to p theoretical capability weaknesses, the vector of theoretical capability weaknesses is used to locate these weaknesses. elements and elements in the set T of theoretical capability items One-to-one correspondence; S602, through formula Computing personnel x The vector of weaknesses in practical ability The meaning of the practical ability weakness vector is similar to that of the theoretical ability weakness vector; the personnel mentioned x The vector of weaknesses in practical ability for This has enabled personnel x From k production violation records to q practical capability weaknesses, the practical capability weakness vector is used to identify these weaknesses. elements Elements in the set S of practical ability items One-to-one correspondence; S603. From a practical perspective, when personnel generate two violation records, it is not necessary to strengthen all theoretical or practical skills. Based on the actual number of two violations occurring in production and the personnel training and strengthening plan, a theoretical strengthening threshold is preset. θ T and implementation reinforcement threshold θ S ; S604, via formula Computing personnel x Set of theoretical weaknesses that need to be addressed ,in Personnel x Theoretical capability weakness vector The elements in Personnel x The i-th theoretical weakness that needs improvement; through the formula Computing personnel x Set of weaknesses in practical skills that need improvement ,in Personnel x The vector of weaknesses in practical ability The elements in Personnel x The i-th practical capability weakness that needs to be strengthened. That is, only when the elements in the weakness vector are greater than or equal to the corresponding strengthening threshold are they included in the set of theoretical and practical capability weaknesses that need to be strengthened.

[0026] For example, the occupation used in this embodiment is "high-speed train driver," and the corresponding set of production violation assessment standards is as follows: ,in This indicates failure to sound the horn as required (Category B). This indicates that the speed limit has been exceeded (Class A). This indicates that the parking location is inaccurate (Category C). This indicates an emergency braking event occurring during interval operation (Class A); a set T of partial theoretical capability items for the EMU driver is defined. Where t1 represents signal knowledge, t2 represents speed control, t3 represents stopping accuracy, t4 represents horn sounding procedures, and t5 represents emergency response; since the subsequent association methods for practical ability items and the calculation and reinforcement methods for weaknesses in driver practical ability are similar to those for theoretical items, this part is omitted in this embodiment, and only theoretical ability items are used as an example; a set R of some key regulations and normative clauses for EMU drivers is defined. Where r1 represents Article 102 of the "Railway Technical Management Regulations" (national level), r2 represents Article 15 of the "CRH Series EMU Operation Rules" (national level), r3 represents Article 3.2 of the "X Bureau Train Operation Organization Rules" (railway bureau level), r4 represents Article 5.1 of the "X Bureau Train Operation Organization Rules" (railway bureau level), r5 represents Article 2.3 of the "XX Station Train Operation Work Rules" (station / section level), r6 represents Article 4.4 of the "XX Station Train Operation Work Rules" (station / section level), and r7 represents Article 5 of the "Railway Safety Management Regulations" (national level).

[0027] For example, a typical traffic violation record of a high-speed train driver is used as an example for description: S401: Define a specific person as a train driver. x The personnel's production violation record set vector ,personnel x All elements of the violation records belong to the above set of violation assessment standards. W In the data, the total number of unique production violations by this individual is [number missing]. W The first three items; The violations by high-speed train drivers are defined according to their severity levels. The severity weights of the three violations are as follows: ; Assuming personnel x The number of violations for the three types of records are as follows: (Failure to sound the horn as required) twice (Speed ​​exceeded) 1 time. If the parking location is inaccurate 4 times, then the corresponding cumulative frequency weights of the three items can be calculated. ; Assuming personnel x The most recent occurrence time for the three violations is: (Failure to sound the horn as required) 15 days ago, (Speed ​​exceeded) 60 days ago (Inaccurate parking location) 3 days ago, and take the attenuation coefficient. β =0.0231 (meaning calculated based on a half-life of 30 days), then the corresponding weights for the three occurrences can be calculated. With personnel x Based on the two violation records and the specific parameters mentioned above, the corresponding three comprehensive weights are calculated. The normalized weight vector of traffic violation records is Define the first incidence matrix. A n×m for In this embodiment, n is 4 and m is 7; the third correlation matrix for In this embodiment, k is 3; the fourth correlation matrix BT m×p for Due to the fifth correlation matrix BS m×q With the fourth correlation matrix BT m×p The calculation method is similar, but this embodiment only takes the theoretical capability item association as an example, so the implementation part is omitted; for the first association matrix respectively A n×m Fourth correlation matrix BT m×p and the fifth correlation matrix BS m×q The elements in the matrix are initialized; then the first transmission matrix is... for .

[0028] For example, through the formula Computing personnel x The vector representing the weakness in strength ability is... This means that the number of violations is calculated based on the three violation records of the personnel, combined with the specific severity level, cumulative number of violations, and number of days since the most recent violation. x Among the five theoretical competency items—signal knowledge, speed control, parking accuracy, horn honking standards, and emergency response—the fourth item, horn honking standards, was the weakest and required the most improvement.

[0029] For example, in this embodiment, a threshold for theoretical reinforcement of EMU drivers is defined. θ T The threshold is 0.5, and the actual reinforcement threshold is similar, so it is not defined or calculated in this embodiment; personnel x The theoretical weakness value that needs to be strengthened must be greater than or equal to 0.5. Therefore, based on the values ​​of the aforementioned strength weakness vector, the following calculations are made: This means that only the theoretical understanding of item 4, "Horning Norms," ​​needs to be strengthened. (Personnel) xOnline learning and quizzes on "Horning Standards" are needed to provide targeted theoretical reinforcement training. After addressing specific theoretical and practical weaknesses, the training effectiveness must be evaluated. This evaluation should measure both skill improvement and behavioral improvement. Skill improvement can be assessed through pre- and post-training tests or by quantifying the mastery of skills. Behavioral improvement can be evaluated by comparing changes in data from actual production operations. It is assumed that the training can be re-evaluated after one month. x By analyzing the records of violations and assessing competency items, the final evaluation will assess the improvement of the person's ability to "honk the horn properly," thereby achieving continuous tracking and management of targeted training through a data-driven closed loop.

[0030] The above description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the concept described herein through the above teachings or related technologies or knowledge. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A railway work type training method based on two violation data, characterized by, Includes the following steps: S1. Define the production violation assessment standards for occupational types in railways, which are used to track and evaluate the work quality of the occupational types in production operations. The production violation assessment standards include evaluation clauses for violations and irregularities recorded in actual production operations. S2. Define the occupational competency items for the occupational job to evaluate the occupational competency profile of the occupational job. The occupational competency items include theoretical competency items and practical competency items. S3. Define the knowledge base required for the occupation, including the corresponding national, railway bureau, and station / section level regulations and norms. S4. Based on the personnel in the occupation, define their two-violation record vector to represent the two-violation assessment standards violated in actual production operations; then, attach a comprehensive weight to the two-violation record vector through a dynamic weight adjustment model, the comprehensive weight taking into account the severity, frequency and recentity of the problem; finally, form the violation record weight vector corresponding to the two-violation record. S5. Based on the relationship between the personnel's two production violation records and the rules and regulations, establish a transmission matrix; at the same time, based on the rules and regulations, establish a relationship matrix between the personnel and theoretical ability items and practical ability items respectively. S6. Define the personnel's theoretical and practical weaknesses. By considering the weighted relational transmission matrix, locate the personnel's theoretical or practical weaknesses from the two violation records. Then, by setting thresholds, determine the set of theoretical and practical skills that the personnel need to improve. S7. Based on the characteristics of the occupation and the equipment provided by the relevant unit, strengthen the set of theoretical and practical skills obtained in step S6 item by item. S8. Evaluate the effectiveness of the reinforcement training for the personnel. The evaluation of the training effectiveness includes capacity improvement and behavior improvement. Specifically, it includes: evaluating capacity improvement by testing or quantifying the mastery of capacity items before and after training, and evaluating behavior improvement by comparing changes in two data points in actual production operations. S9. Within the preset period, repeat steps S4-S8 for personnel in this occupation to track and reinforce their training, so as to achieve closed-loop management and continuous tracking from the occurrence of production violations to the reinforcement of theory and practice, and then to the evaluation of results.

2. The railway worker training method based on violation data according to claim 1, characterized in that: The production of the set of two-violation evaluation criteria in step S1 is wherein n represents the total number of item points of the two-violation evaluation criteria of the occupation type, represents the production of the two-violation evaluation criteria of the occupation type of the item.

3. The method for railway work type training based on two violation data according to claim 2, characterized in that, Step S2 specifically includes the following steps: S201、the set of theoretical ability item points of the occupation type is wherein, p represents the total number of theoretical ability item points, represents the theoretical ability item point of the b th occupation type; S202, the set of implementation ability item points of the occupation type is wherein, q represents the total number of implementation ability item points, represents the implementation ability item point of the c th occupation type.

4. The railway worker training method based on violation data according to claim 3, characterized in that, The corresponding set of regulatory specification clauses of the three levels of country, road bureau, and station section in step S3 is wherein, m denotes the total number of regulatory specification clauses, denotes the dth regulatory specification clause.

5. The method for railway job training based on two violation data according to claim 4, characterized in that, Step S4 specifically includes the following steps: S401、For personnel in the occupation x The production set vector of two-violation records is Wherein, k represents the total number of two-violation records, The first x two-violation record of personnel i ; S402、 the personnel x the first i two violation records the problem severity weight is corrected according to the two violation problem levels of different types, that is wherein , , and all represent constants; S403, the personnel mentioned x The i Two violations record The cumulative frequency weight is Its calculation formula is ,in Personnel x The i Two violations record The cumulative number of occurrences within a preset period; S404, the personnel mentioned x The i Two violations record The weight of the recent occurrence is Its calculation formula is ,in β Indicates the attenuation coefficient. This indicates the number of days since the last time that person x had two violations recorded; S405, via formula Computing personnel x The i Two violations record Overall weight ; S406, through formula Calculate set vectors Corresponding violation record weight vector .

6. The railway worker training method based on violation data according to claim 5, characterized in that, Step S5 specifically includes the following steps: S501. Establish a first correlation matrix based on the production violation assessment standards and regulations for occupational types. A n×m The first correlation matrix A n×m elements in Used to represent the assessment standards for production violations. In accordance with regulations and rules The degree of correlation; S502, Based on personnel x Establish a second correlation matrix based on the two violation records and regulations. Consider the weight vector of traffic violation records. Establish a third correlation matrix ; S503. Establish a fourth correlation matrix based on the regulations and normative clauses of occupational types and theoretical competency items. BT m×p The fourth correlation matrix BT m×p elements in Used to indicate rules and regulations. With theoretical ability items The degree of correlation; S504. Establish a fifth correlation matrix based on the regulations and normative clauses of occupational types and practical ability items. BS m×q The fifth correlation matrix BS m×q elements in Used to indicate rules and regulations. Practical skills items The degree of correlation; S505, respectively, for the first correlation matrix A n×m Fourth correlation matrix BT m×p and the fifth correlation matrix BS m×q Initialize the elements in the file; S506, Based on personnel x Based on the set vector of the production two violation records and the theoretical capability terms, establish the first transmission matrix. This is used to represent the correlation mapping relationship between production violation records and theoretical capacity items; based on personnel x Based on the set vector of production violation records and the actual capability items, a second transmission matrix is ​​established. This is used to represent the association mapping relationship between production violation records and actual capability items.

7. A railway worker training method based on violation data according to claim 6, characterized in that, Step S6 specifically includes the following steps: S601, via formula Computing personnel x Theoretical capability weakness vector ,in This represents a row vector with 1 row, k columns, and all values ​​being 1; S602, through formula Computing personnel x The vector of weaknesses in practical ability ; S603. Based on the actual number of violations and related personnel training and reinforcement plans in production, preset theoretical reinforcement thresholds. θ T and implementation reinforcement threshold θ S ; S604, via formula Computing personnel x Set of theoretical weaknesses that need to be addressed ,in Personnel x Theoretical capability weakness vector The elements in Personnel x The i-th theoretical weakness that needs improvement; through the formula Computing personnel x Set of weaknesses in practical skills that need improvement ,in Personnel x The vector of weaknesses in practical ability elements in Personnel x The i-th weakness in practical skills that needs improvement.

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